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<h1><a href="contactcenterinsights_v1.html">Contact Center AI Insights API</a> . <a href="contactcenterinsights_v1.projects.html">projects</a> . <a href="contactcenterinsights_v1.projects.locations.html">locations</a> . <a href="contactcenterinsights_v1.projects.locations.datasets.html">datasets</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
  <code><a href="contactcenterinsights_v1.projects.locations.datasets.conversations.html">conversations()</a></code>
</p>
<p class="firstline">Returns the conversations Resource.</p>

<p class="toc_element">
  <code><a href="contactcenterinsights_v1.projects.locations.datasets.insightsdata.html">insightsdata()</a></code>
</p>
<p class="firstline">Returns the insightsdata Resource.</p>

<p class="toc_element">
  <code><a href="#bulkDeleteFeedbackLabels">bulkDeleteFeedbackLabels(parent, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Delete feedback labels in bulk using a filter.</p>
<p class="toc_element">
  <code><a href="#bulkDownloadFeedbackLabels">bulkDownloadFeedbackLabels(parent, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Download feedback labels in bulk from an external source. Currently supports exporting Quality AI example conversations with transcripts and question bodies.</p>
<p class="toc_element">
  <code><a href="#bulkUploadFeedbackLabels">bulkUploadFeedbackLabels(parent, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Upload feedback labels from an external source in bulk. Currently supports labeling Quality AI example conversations.</p>
<p class="toc_element">
  <code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
  <code><a href="#create">create(parent, body=None, datasetId=None, x__xgafv=None)</a></code></p>
<p class="firstline">Creates a dataset.</p>
<p class="toc_element">
  <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
<p class="firstline">Delete a dataset.</p>
<p class="toc_element">
  <code><a href="#get">get(name, x__xgafv=None)</a></code></p>
<p class="firstline">Gets a dataset.</p>
<p class="toc_element">
  <code><a href="#list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">List datasets matching the input.</p>
<p class="toc_element">
  <code><a href="#listAllFeedbackLabels">listAllFeedbackLabels(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">List all feedback labels by project number.</p>
<p class="toc_element">
  <code><a href="#listAllFeedbackLabels_next">listAllFeedbackLabels_next()</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
  <code><a href="#list_next">list_next()</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
  <code><a href="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p>
<p class="firstline">Updates a dataset.</p>
<h3>Method Details</h3>
<div class="method">
    <code class="details" id="bulkDeleteFeedbackLabels">bulkDeleteFeedbackLabels(parent, body=None, x__xgafv=None)</code>
  <pre>Delete feedback labels in bulk using a filter.

Args:
  parent: string, Required. The parent resource for new feedback labels. (required)
  body: object, The request body.
    The object takes the form of:

{ # Request for the BulkDeleteFeedbackLabels endpoint.
  &quot;filter&quot;: &quot;A String&quot;, # Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING
  &quot;parent&quot;: &quot;A String&quot;, # Required. The parent resource for new feedback labels.
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
    &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    ],
    &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
  &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
}</pre>
</div>

<div class="method">
    <code class="details" id="bulkDownloadFeedbackLabels">bulkDownloadFeedbackLabels(parent, body=None, x__xgafv=None)</code>
  <pre>Download feedback labels in bulk from an external source. Currently supports exporting Quality AI example conversations with transcripts and question bodies.

Args:
  parent: string, Required. The parent resource for new feedback labels. (required)
  body: object, The request body.
    The object takes the form of:

{ # Request for the BulkDownloadFeedbackLabel endpoint.
  &quot;conversationFilter&quot;: &quot;A String&quot;, # Optional. Filter parent conversations to download feedback labels for. When specified, the feedback labels will be downloaded for the conversations that match the filter. If `template_qa_scorecard_id` is set, all the conversations that match the filter will be paired with the questions under the scorecard for labeling.
  &quot;feedbackLabelType&quot;: &quot;A String&quot;, # Optional. The type of feedback labels that will be downloaded.
  &quot;filter&quot;: &quot;A String&quot;, # Optional. A filter to reduce results to a specific subset. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `qa_scorecard_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING
  &quot;gcsDestination&quot;: { # Google Cloud Storage Object details to write the feedback labels to. # A cloud storage bucket destination.
    &quot;addWhitespace&quot;: True or False, # Optional. Add whitespace to the JSON file. Makes easier to read, but increases file size. Only applicable for JSON format.
    &quot;alwaysPrintEmptyFields&quot;: True or False, # Optional. Always print fields with no presence. This is useful for printing fields that are not set, like implicit 0 value or empty lists/maps. Only applicable for JSON format.
    &quot;format&quot;: &quot;A String&quot;, # Required. File format in which the labels will be exported.
    &quot;objectUri&quot;: &quot;A String&quot;, # Required. The Google Cloud Storage URI to write the feedback labels to. The file name will be used as a prefix for the files written to the bucket if the output needs to be split across multiple files, otherwise it will be used as is. The file extension will be appended to the file name based on the format selected. E.g. `gs://bucket_name/object_uri_prefix`
    &quot;recordsPerFileCount&quot;: &quot;A String&quot;, # Optional. The number of records per file. Applicable for either format.
  },
  &quot;maxDownloadCount&quot;: 42, # Optional. Limits the maximum number of feedback labels that will be downloaded. The first `N` feedback labels will be downloaded.
  &quot;parent&quot;: &quot;A String&quot;, # Required. The parent resource for new feedback labels.
  &quot;sheetsDestination&quot;: { # Google Sheets document details to write the feedback labels to. # A sheets document destination.
    &quot;sheetTitle&quot;: &quot;A String&quot;, # Optional. The title of the new sheet to write the feedback labels to.
    &quot;spreadsheetUri&quot;: &quot;A String&quot;, # Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA. The spreadsheet ID written to will be returned as `file_names` in the BulkDownloadFeedbackLabelsMetadata.
  },
  &quot;templateQaScorecardId&quot;: [ # Optional. If set, a template for labeling conversations and scorecard questions will be created from the conversation_filter and the questions under the scorecard(s). The feedback label `filter` will be ignored.
    &quot;A String&quot;,
  ],
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
    &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    ],
    &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
  &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
}</pre>
</div>

<div class="method">
    <code class="details" id="bulkUploadFeedbackLabels">bulkUploadFeedbackLabels(parent, body=None, x__xgafv=None)</code>
  <pre>Upload feedback labels from an external source in bulk. Currently supports labeling Quality AI example conversations.

Args:
  parent: string, Required. The parent resource for new feedback labels. (required)
  body: object, The request body.
    The object takes the form of:

{ # The request for bulk uploading feedback labels.
  &quot;gcsSource&quot;: { # Google Cloud Storage Object details to get the feedback label file from. # A cloud storage bucket source.
    &quot;format&quot;: &quot;A String&quot;, # Required. File format which will be ingested.
    &quot;objectUri&quot;: &quot;A String&quot;, # Required. The Google Cloud Storage URI of the file to import. Format: `gs://bucket_name/object_name`
  },
  &quot;sheetsSource&quot;: { # Google Sheets document details to get the feedback label file from. # A sheets document source.
    &quot;spreadsheetUri&quot;: &quot;A String&quot;, # Required. The Google Sheets document to write the feedback labels to. Retrieved from Google Sheets URI. E.g. `https://docs.google.com/spreadsheets/d/1234567890` The spreadsheet must be shared with the Insights P4SA.
  },
  &quot;validateOnly&quot;: True or False, # Optional. If set, upload will not happen and the labels will be validated. If not set, then default behavior will be to upload the labels after validation is complete.
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
    &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    ],
    &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
  &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
}</pre>
</div>

<div class="method">
    <code class="details" id="close">close()</code>
  <pre>Close httplib2 connections.</pre>
</div>

<div class="method">
    <code class="details" id="create">create(parent, body=None, datasetId=None, x__xgafv=None)</code>
  <pre>Creates a dataset.

Args:
  parent: string, Required. The parent resource of the dataset. (required)
  body: object, The request body.
    The object takes the form of:

{ # Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)
  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Dataset create time.
  &quot;description&quot;: &quot;A String&quot;, # Dataset description.
  &quot;displayName&quot;: &quot;A String&quot;, # Display name for the dataaset
  &quot;name&quot;: &quot;A String&quot;, # Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
  &quot;ttl&quot;: &quot;A String&quot;, # Optional. Option TTL for the dataset.
  &quot;type&quot;: &quot;A String&quot;, # Dataset usage type.
  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Dataset update time.
}

  datasetId: string, Optional. The ID to use for the dataset.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)
  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Dataset create time.
  &quot;description&quot;: &quot;A String&quot;, # Dataset description.
  &quot;displayName&quot;: &quot;A String&quot;, # Display name for the dataaset
  &quot;name&quot;: &quot;A String&quot;, # Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
  &quot;ttl&quot;: &quot;A String&quot;, # Optional. Option TTL for the dataset.
  &quot;type&quot;: &quot;A String&quot;, # Dataset usage type.
  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Dataset update time.
}</pre>
</div>

<div class="method">
    <code class="details" id="delete">delete(name, x__xgafv=None)</code>
  <pre>Delete a dataset.

Args:
  name: string, Required. The name of the dataset to delete. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  &quot;done&quot;: True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  &quot;error&quot;: { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    &quot;code&quot;: 42, # The status code, which should be an enum value of google.rpc.Code.
    &quot;details&quot;: [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
      },
    ],
    &quot;message&quot;: &quot;A String&quot;, # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  &quot;metadata&quot;: { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
  &quot;name&quot;: &quot;A String&quot;, # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  &quot;response&quot;: { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    &quot;a_key&quot;: &quot;&quot;, # Properties of the object. Contains field @type with type URL.
  },
}</pre>
</div>

<div class="method">
    <code class="details" id="get">get(name, x__xgafv=None)</code>
  <pre>Gets a dataset.

Args:
  name: string, Required. The name of the dataset to get. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)
  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Dataset create time.
  &quot;description&quot;: &quot;A String&quot;, # Dataset description.
  &quot;displayName&quot;: &quot;A String&quot;, # Display name for the dataaset
  &quot;name&quot;: &quot;A String&quot;, # Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
  &quot;ttl&quot;: &quot;A String&quot;, # Optional. Option TTL for the dataset.
  &quot;type&quot;: &quot;A String&quot;, # Dataset usage type.
  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Dataset update time.
}</pre>
</div>

<div class="method">
    <code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
  <pre>List datasets matching the input.

Args:
  parent: string, Required. The parent resource of the dataset. (required)
  filter: string, Optional. A filter to reduce results to a specific subset. Useful for querying datasets with specific properties. Supported fields include, for Q2 though we only support list by project: - `type` - `description` - `project_number`
  pageSize: integer, Optional. The maximum number of datasets to return in the response. If this value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available.
  pageToken: string, Optional. The value returned by the last `ListDatasetsResponse`; indicates that this is a continuation of a prior `ListDatasets` call and the system should return the next page of data.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The response to list datasets.
  &quot;datasets&quot;: [ # The datasets that match the request.
    { # Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)
      &quot;createTime&quot;: &quot;A String&quot;, # Output only. Dataset create time.
      &quot;description&quot;: &quot;A String&quot;, # Dataset description.
      &quot;displayName&quot;: &quot;A String&quot;, # Display name for the dataaset
      &quot;name&quot;: &quot;A String&quot;, # Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
      &quot;ttl&quot;: &quot;A String&quot;, # Optional. Option TTL for the dataset.
      &quot;type&quot;: &quot;A String&quot;, # Dataset usage type.
      &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Dataset update time.
    },
  ],
  &quot;nextPageToken&quot;: &quot;A String&quot;, # A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.
}</pre>
</div>

<div class="method">
    <code class="details" id="listAllFeedbackLabels">listAllFeedbackLabels(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code>
  <pre>List all feedback labels by project number.

Args:
  parent: string, Required. The parent resource of all feedback labels per project. (required)
  filter: string, Optional. A filter to reduce results to a specific subset in the entire project. Supports disjunctions (OR) and conjunctions (AND). Supported fields: * `issue_model_id` * `qa_question_id` * `min_create_time` * `max_create_time` * `min_update_time` * `max_update_time` * `feedback_label_type`: QUALITY_AI, TOPIC_MODELING
  pageSize: integer, Optional. The maximum number of feedback labels to return in the response. A valid page size ranges from 0 to 100,000 inclusive. If the page size is zero or unspecified, a default page size of 100 will be chosen. Note that a call might return fewer results than the requested page size.
  pageToken: string, Optional. The value returned by the last `ListAllFeedbackLabelsResponse`. This value indicates that this is a continuation of a prior `ListAllFeedbackLabels` call and that the system should return the next page of data.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The response for listing all feedback labels.
  &quot;feedbackLabels&quot;: [ # The feedback labels that match the request.
    { # Represents a conversation, resource, and label provided by the user. Can take the form of a string label or a QaAnswer label. QaAnswer labels are used for Quality AI example conversations. String labels are used for Topic Modeling. AgentAssistSummary labels are used for Agent Assist Summarization.
      &quot;createTime&quot;: &quot;A String&quot;, # Output only. Create time of the label.
      &quot;label&quot;: &quot;A String&quot;, # String label used for Topic Modeling.
      &quot;labeledResource&quot;: &quot;A String&quot;, # Name of the resource to be labeled. Supported resources are: * `projects/{project}/locations/{location}/qaScorecards/{scorecard}/revisions/{revision}/qaQuestions/{question}` * `projects/{project}/locations/{location}/issueModels/{issue_model}` * `projects/{project}/locations/{location}/generators/{generator_id}`
      &quot;name&quot;: &quot;A String&quot;, # Immutable. Resource name of the FeedbackLabel. Format: projects/{project}/locations/{location}/conversations/{conversation}/feedbackLabels/{feedback_label}
      &quot;qaAnswerLabel&quot;: { # Message for holding the value of a QaAnswer. QaQuestion.AnswerChoice defines the possible answer values for a question. # QaAnswer label used for Quality AI example conversations.
        &quot;boolValue&quot;: True or False, # Boolean value.
        &quot;key&quot;: &quot;A String&quot;, # A short string used as an identifier. Matches the value used in QaQuestion.AnswerChoice.key.
        &quot;naValue&quot;: True or False, # A value of &quot;Not Applicable (N/A)&quot;. Should only ever be `true`.
        &quot;normalizedScore&quot;: 3.14, # Output only. Normalized score of the questions. Calculated as score / potential_score.
        &quot;numValue&quot;: 3.14, # Numerical value.
        &quot;potentialScore&quot;: 3.14, # Output only. The maximum potential score of the question.
        &quot;score&quot;: 3.14, # Output only. Numerical score of the answer.
        &quot;skipValue&quot;: True or False, # Output only. A value of &quot;Skip&quot;. If provided, this field may only be set to `true`. If a question receives this answer, it will be excluded from any score calculations. This would mean that the question was not evaluated.
        &quot;strValue&quot;: &quot;A String&quot;, # String value.
      },
      &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Update time of the label.
    },
  ],
  &quot;nextPageToken&quot;: &quot;A String&quot;, # A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.
}</pre>
</div>

<div class="method">
    <code class="details" id="listAllFeedbackLabels_next">listAllFeedbackLabels_next()</code>
  <pre>Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call &#x27;execute()&#x27; on to request the next
          page. Returns None if there are no more items in the collection.
        </pre>
</div>

<div class="method">
    <code class="details" id="list_next">list_next()</code>
  <pre>Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call &#x27;execute()&#x27; on to request the next
          page. Returns None if there are no more items in the collection.
        </pre>
</div>

<div class="method">
    <code class="details" id="patch">patch(name, body=None, updateMask=None, x__xgafv=None)</code>
  <pre>Updates a dataset.

Args:
  name: string, Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset} (required)
  body: object, The request body.
    The object takes the form of:

{ # Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)
  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Dataset create time.
  &quot;description&quot;: &quot;A String&quot;, # Dataset description.
  &quot;displayName&quot;: &quot;A String&quot;, # Display name for the dataaset
  &quot;name&quot;: &quot;A String&quot;, # Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
  &quot;ttl&quot;: &quot;A String&quot;, # Optional. Option TTL for the dataset.
  &quot;type&quot;: &quot;A String&quot;, # Dataset usage type.
  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Dataset update time.
}

  updateMask: string, Optional. The list of fields to update.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Dataset resource represents a collection of conversations that may be bounded (Static Dataset, e.g. golden dataset for training), or unbounded (Dynamic Dataset, e.g. live traffic, or agent training traffic)
  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Dataset create time.
  &quot;description&quot;: &quot;A String&quot;, # Dataset description.
  &quot;displayName&quot;: &quot;A String&quot;, # Display name for the dataaset
  &quot;name&quot;: &quot;A String&quot;, # Immutable. Identifier. Resource name of the dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}
  &quot;ttl&quot;: &quot;A String&quot;, # Optional. Option TTL for the dataset.
  &quot;type&quot;: &quot;A String&quot;, # Dataset usage type.
  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Dataset update time.
}</pre>
</div>

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